Solution Data Architect

• Solution Engineering Architect will work with the Enterprise Solution Architect in deriving the data Engineering aspects such as integration, Storage, processing and consumption of data to be adapted in a particular business capability or a project
• Gather, analyse and interpret functional and non-functional requirements to determine an architectural solution for a specific business project within the approved scope
• The architecture delivered will be consistent with the Enterprise Architecture blueprints and roadmaps, and conformant with Voya's enterprise architecture principles & methods
• The focus is on creating reusable patterns related to logical and physical views for ETL design, Data modelling, batch job scheduling, data migration from On-premise to Azure cloud for specific solutions for large and major projects meeting the defined SLA's
• Work with detail designers, ETL developers, testers & Cloud Infrastructure team in adhering to the Cloud security principles, architectural Standards of Voya and ensure smooth delivery
• Aids Enterprise Architects in identifying / evaluating technology stack options to confirm technical feasibility. Keeps abreast of latest trends, design patterns and their applicability
• Identify key areas of complexity in solution advised and validates results by building PoCs if it is non-existent in the enterprise continuum
• Mentors and Coaches teams on the technology selected for development & how various portions of the solution architecture come together and owns the solution deliverables
• Perform impact analysis on the project or a business capability due to any change requests raised by stakeholders and performance tuning of the solution

• Degree: B.E\B.Tech\M.Tech\MCA
• Experience: 12+ years of relevant experience in software development and solid knowledge of cloud services
• Certifications (if any): Technology related (Ex: Microsoft, Snowflake, ETL technologies)
• Experience on cloud technologies such as Network, Storage, Compute/IaaS/PaaS/SaaS, Data Integration, Data Management, Data Science, Integration, DMZ, AWS/Azure /OCI etc
• Demonstrated success in professional services consulting projects in a leadership or individual contributor role
• Functional work in and familiarity with enterprise architecture, data warehouse concepts, Cloud concepts, CI/CD pipelines
• Solution design experience for large scale initiatives
• Excellent communication skills – must be able to interface with business as well as technical leaders
• Excellent documentation skills
• Aware of Data Governance process and experience in designing metadata based solutions
• Domains : Financial Services, Investment Management, Insurance, Retirement services (preferably)
• Products: Azure stack of tools, Snowflake, Tivoli scheduler, Talend, Informatica
• Team collaboration, presentation and negotiation skills
• Databricks hands-on experience
• building solutions using DX notebooks, DW concepts, ETL concepts and CLoud concepts

Last updated on Aug 2, 2023